Google’s Simula Treats Synthetic Data Generation as Mechanism Design
Google’s research blog unveils Simula, a framework that redefines synthetic data creation as dataset‑level mechanism design. By using a reasoning‑first, seedless approach, Simula lets developers control coverage, complexity, and quality, making synthetic datasets viable for privacy‑sensitive and data‑scarce AI applications.